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This project uses NLP and LinearSVC, an efficient Machine Learning algorithm in Scikit Learn library, that works well with text classification. This project predicts the sentiment of IMDB movie reviews.

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
data		data
model		model
.gitignore		.gitignore
README.md		README.md
model.py		model.py
requirements.txt		requirements.txt
training.py		training.py

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Predicting Sentiment of IMDB Movie Reviews Using LinearSVC

About the Dataset

The dataset contains 50K movie reviews collected from IMDB. It was posted by Lakshmipathi N on Kaggle.

How to Use

Clone the repository
Install dependencies using Requirements.txt
Run training.py if you'd like to change the hyperparameters or algorith
Predict with user input using model.py

Accuracy

Model Accuracy: 90.69%

About

This project uses NLP and LinearSVC, an efficient Machine Learning algorithm in Scikit Learn library, that works well with text classification. This project predicts the sentiment of IMDB movie reviews.

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Python 100.0%